Corso di laurea magistrale

• Operating systems for embedded systems. A.A. 2021/22, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso

Corso di laurea di 1° livello

• Informatica. A.A. 2020/21, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
• Informatica. A.A. 2021/22, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
• Informatica. A.A. 2022/23, INGEGNERIA GESTIONALE. Collaboratore del corso
• Informatica. A.A. 2023/24, INGEGNERIA GESTIONALE. Collaboratore del corso

• Daghero, Francesco; Burrello, Alessio; Macii, Enrico; Montuschi, Paolo; Poncino, ... (2024)
  Dynamic Decision Tree Ensembles for Energy-Efficient Inference on IoT Edge Nodes. In: IEEE INTERNET OF THINGS JOURNAL, vol. 11, pp. 742-757. ISSN 2327-4662
  Contributo su Rivista
• Daghero, Francesco; Faraone, Gabriele; Grosso, Michelangelo; Pagliari, Daniele Jahier; ... (2024)
  Machine Learning-based feasibility estimation of digital blocks in BCD technology. In: 2024 IEEE International Conference on Design, Test and Technology of Integrated Systems, DTTIS 2024, Aix-En-Provence, France, 14-16 October 2024, pp. 1-6. ISBN: 979-8-3503-6312-8
  Contributo in Atti di Convegno (Proceeding)
• Risso, M.; Xie, C.; Daghero, F.; Burrello, A.; Mollaei, S.; Castellano, M.; Macii, E.; ... (2024)
  HW-SW Optimization of DNNs for Privacy-Preserving People Counting on Low-Resolution Infrared Arrays. In: Design, Automation and Test in Europe Conference and Exhibition, DATE 2024, Valencia (ESP), 25-27 March 2024, pp. 1-6. ISSN 1530-1591. ISBN: 978-3-9819263-8-5
  Contributo in Atti di Convegno (Proceeding)
• Daghero, Francesco (2024)
  Implementation of Machine Learning Algorithms on Ultra-Low-Power Hardware for In-Sensor Inference. relatore: MACII, Enrico; PONCINO, MASSIMO; , 36. XXXVI Ciclo, P.: 114
  Doctoral Thesis
• Aliffi, G. E.; Baixinho, J.; Barri, D.; Daghero, F.; Di Carolo, N.; Faraone, G.; Grosso, ... (2024)
  AMBEATion: Analog Mixed-Signal Back-End Design Automation with Machine Learning and Artificial Intelligence Techniques. In: Design, Automation and Test in Europe Conference and Exhibition, DATE 2024, Valencia (ESP), 25-27 March 2024, pp. 1-6. ISSN 1530-1591. ISBN: 978-3-9819263-8-5
  Contributo in Atti di Convegno (Proceeding)
• Sidahmed Alamin, Khaled Sidahmed; Daghero, Francesco; Pollo, Giovanni; Pagliari, Daniele ... (2023)
  Model-Driven Dataset Generation for Data-Driven Battery SOH Models. In: IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), Vienna (AUT), 07-08 August 2023, pp. 1-6. ISBN: 979-8-3503-1175-4
  Contributo in Atti di Convegno (Proceeding)
• Xie, Chen; Daghero, Francesco; Chen, Yukai; Castellano, Marco; Gandolfi, Luca; Calimera, ... (2023)
  Efficient Deep Learning Models for Privacy-preserving People Counting on Low-resolution Infrared Arrays. In: IEEE INTERNET OF THINGS JOURNAL, vol. 10, pp. 13895-13907. ISSN 2327-4662
  Contributo su Rivista
• Xie, Chen; Burrello, Alessio; Daghero, Francesco; Benini, Luca; Calimera, Andrea; Macii, ... (2023)
  Reducing the Energy Consumption of sEMG-Based Gesture Recognition at the Edge Using Transformers and Dynamic Inference. In: SENSORS, vol. 23, pp. 1-21. ISSN 1424-8220
  Contributo su Rivista
• Xie, Chen; Daghero, Francesco; Chen, Yukai; Castellano, Marco; Gandolfi, Luca; Calimera, ... (2022)
  Privacy-preserving Social Distance Monitoring on Microcontrollers with Low-Resolution Infrared Sensors and CNNs. In: 2022 IEEE International Symposium on Circuits and Systems (ISCAS), Austin, TX (USA), 27 May 2022 - 01 June 2022, pp. 1332-1336
  Contributo in Atti di Convegno (Proceeding)
• Daghero, Francesco; Burrello, Alessio; Xie, Chen; Castellano, Marco; Gandolfi, Luca; ... (2022)
  Human Activity Recognition on Microcontrollers with Quantized and Adaptive Deep Neural Networks. In: ACM TRANSACTIONS ON EMBEDDED COMPUTING SYSTEMS, vol. 21, pp. 1-28. ISSN 1539-9087
  Contributo su Rivista
• Daghero, Francesco; Jahier Pagliari, Daniele; Poncino, Massimo (2022)
  Two-stage Human Activity Recognition on Microcontrollers with Decision Trees and CNNs. In: 17th International Conference on Ph.D Research in Microelectronics and Electronics, PRIME 2022, Villasimius (ITA), 2022, pp. 173-176. ISBN: 978-1-6654-6700-1
  Contributo in Atti di Convegno (Proceeding)
• Daghero, F; Burrello, A; Xie, C; Benini, L; Calimera, A; Macii, E; Poncino, M; Jahier ... (2022)
  Low-Overhead Early-Stopping Policies for Efficient Random Forests Inference on Microcontrollers. In: 29th IFIP WG 10.5/IEEE International Conference on Very Large Scale Integration (VLSI-SoC 2021), Singapore, October 4-8, 2021, pp. 25-47. ISSN 1868-4238. ISBN: 978-3-031-16817-8
  Contributo in Atti di Convegno (Proceeding)
• Daghero, F.; Xie, C.; Jahier Pagliari, D.; Burrello, A.; Castellano, M.; Gandolfi, L.; ... (2021)
  Ultra-compact binary neural networks for human activity recognition on RISC-V processors. In: 18th ACM International Conference on Computing Frontiers 2021, CF 2021, Virtual conference, 2021, pp. 3-11. ISBN: 9781450384049
  Contributo in Atti di Convegno (Proceeding)
• Daghero, Francesco; Burrello, Alessio; Xie, Chen; Benini, Luca; Calimera, Andrea; Macii, ... (2021)
  Adaptive Random Forests for Energy-Efficient Inference on Microcontrollers. In: 29th IFIP/IEEE International Conference on Very Large Scale Integration, VLSI-SoC 2021, Virtual Conference, 2021, pp. 1-6. ISBN: 978-1-6654-2614-5
  Contributo in Atti di Convegno (Proceeding)
• Daghero, F.; Burrello, A.; Jahier Pagliari, D.; Benini, L.; Macii, E.; Poncino, M. (2020)
  Energy-efficient adaptive machine learning on IoT end-nodes with class-dependent confidence. In: 27th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2020, Virtual conference, 2020, pp. 1-4. ISBN: 978-1-7281-6044-3
  Contributo in Atti di Convegno (Proceeding)
• Jahier Pagliari, Daniele; Daghero, Francesco; Poncino, Massimo (2020)
  Sequence-To-Sequence Neural Networks Inference on Embedded Processors Using Dynamic Beam Search. In: ELECTRONICS, vol. 9, pp. 1-21. ISSN 2079-9292
  Contributo su Rivista